Free and open source artificial intelligence software

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2) What is Artificial Intelligence – Artificial Intelligence Tutorial For

BeginnersFor the uninitiated, this presentation offers an ideal rundown of AI. Thequestion of AI being a threat is raised at the very beginning. However, as thepresentation progresses, it discusses the basics necessary for understandingAI. The most basic question of what is artificial intelligence is answered.A brief history of AI and the discussion on recent advances in the field of AIis also found. The various areas where AI currently sees practical applicationhave been listed. Fascinating uses that AI can be put to in the future arealso found in the presentation. The two approaches of achieving AI, machinelearning and deep learning, is touched upon.All in all, this presentation serves as a simple introduction to AI.* * *

5) AI and Machine Learning Demystified

In this presentation, Carol Smith establishes that AI cannot replace humans.Smith conveys that AI can serve the purpose of enabling human beings in makingbetter decisions.The slides talk about how the actions of AI are the result of the human inputsgoing into its programming. An AI’s bias is not its own, but the human biaswith which it has been programmed, is emphasised on.Other issues such as the need for regulations and other considerations withinit that require deliberation are also touched upon. The presentation leavesyou with a message – Don’t fear AI, Explore it.* * *

7) Artificial Intelligence

There are many who have been introduced to AI only recently due to the buzzsurrounding it and may not be aware of the early developments that led to itscurrent status.This presentation from 2009 offers a simple yet informative introduction tothe rudiments of AI. AI’s history and a timeline of all the significantmilestones in AI up to 2009 can be found. The presentation also provides anintroduction to AI programming languages such as LISP and PROLOG.For those who would like to have a crash course on the basics of AI in orderto catch up with it current trends, this presentation serves the purpose.* * *

9) Deep Learning – The Past, Present and Future of Artificial

IntelligenceThis presentation provides a comprehensive insight into deep learning.Beginning with a brief history of AI and introduction to basics of machinelearning such as its classification, the focus shifts towards deep learningentirely.Various kinds of networks such as recurrent neural nets and generativeadversarial networks have been discussed at length. Emphasis has been given toimportant aspects of these networks and other mechanisms such as naturallanguage processing (NLP).Detailed examples of practical applications and the scope of deep learning arefound throughout the presentation. However, this presentation may provedifficult for first time learner’s of AI to comprehend.* * *

12) 10 Lessons Learned from Building Machine Learning Systems- Netflix

and 10 more lessons learned from building Machine Learning systems-QuoraWhile they are two separate presentations, they talk about the same subject-machine learning. The presentations are a summary of the analysis of machinelearning adopted by two platforms, Netflix and Quora.In case of Netflix, emphasis has been given to the choice of the right metricand the type of data used for testing and training. It also emphasises theneed to understand the dependence between the data used and the modelsemployed. The advice to optimize only areas that matter is offered.The second presentation on Quora, talks about teaching machines only what isnecessary. It stresses on the need the to focus on feature engineering andbeing thoughtful about the ML infrastructure. Another point it highlights isthe combination of supervised and unsupervised being the key in MLapplication.* * *

14) Artificial Intelligence

Made for a school competition in 2009, it provides many examples of cutting-edge applications of AI at the time.Many of the examples, such as mind controlled prosthetic limbs, Ultra HalAssistant and Dexter- the robot provide a trip down the AI memory lane wherethe applications of AI seemed like a page out of a sci-fi novel. It presents alist of areas where AI can assist human beings.It concludes with a series of questions, some of which, are still beingdebated. Such as machines replacing human beings’ and human unemployment dueto the use of machines.* * *

What is Artificial Intelligence Software?

The software that is competent of intelligent behavior is known as artificialintelligence software. AI software is packed with a number of capabilitiesthat can address key areas like reasoning, problem-solving, knowledgerepresentation, learning, and perception.You can see the involvement of artificial intelligence software inapplications like smartphone assistant, voice and image recognition softwareand ATMs that read checks.

Free and open-source artificial intelligence software

1 TensorFlowTensorFlow is an open-source artificial intelligence software that helps youdevelop and train Machine learning models. It presents the library for high-performance numerical computation. Across a variety of platforms (CPUs, GPUs,TPUs) this free AI software allows easy deployment of computation due to itsflexible architecture.With this software, you can accomplish the power of data in your business bybuilding advanced predictive modeling applications. This software makes use ofdata flow graphs to build models. In perception, understanding, prediction,creation, and classification, you can make use of this software.You will find the primary use of this software in voice/sound recognition,text-based applications, image recognition, video detection, and time-seriesdata.The time series algorithms of TensorFlow are mainly used in the field offinance, accounting, and enterprise /resource planning.Several companies, like Dropbox, eBay, Twitter, Uber, and Intel, make use ofthis application. Behind several Google tools, this AI tool works as theengine. It contains Google photos and the speech recognition found in theGoogle app. This software works on various platforms like desktops, clusters,mobile, and edge devices, CPUs, GPUs, and TPUs due to its easy-to-useinterface and architecture.(Source: TensorFlow)Key features: * Predictive Analytics * Adaptive & Speech Recognition * Data Ingestion * Intuitive high-level APIs * Easy model building * Robust ML production * Transfer Learning * Multi-languages * Workflow Automation2 IBM WatsonIBM Watson is a free, open-source AI software that provides authority to thecompanies to speed up the research and discovery, calculate disruptions, andimprove interactions. Several businesses are taking advantage of this softwareto study their data, gather intellectual property, insights, and predict theirfuture performance easily. By using cloud-based IBM platform, organizationscan make more informed decisions.It is designed for enterprises from various sectors like IoT, consumerengagement, education, healthcare, energy, finance, work, and transportation.By using advanced AI and machine learning, enterprises can discover newopportunities and update themselves about possible regulations and risks. Thisapp will allow you to increase your productivity.(Source: IBM Watson)Key features: * Personalized communication * Risk mitigation * Domain-specific research * Discovery acceleration * Interaction enrichment * System condition monitoring * Liabilities detection * Disruption anticipation * Chatbots & knowledge management * Visual recognition & discovery news * Speech to text & text to speech * Natural language classifier * Tone analyzer * Personality insights * Language translator & native language classifier3 Apache MahoutApache Mahout is a distributed framework that efficiently handles theprocessing of the data. You can proficiently use this free AI tool for datamining in conjunction with Hadoop. Facebook, Foursquare, Twitter, LinkedIn,and Yahoo are all massive corporations that make use of this software for datamining.Amazon and Facebook make use of recommender engines, also known ascollaborative filtering to attract users and offer products by mining userbehavior. In one place, this open -source artificial intelligence softwaregroups objects of similar nature by making use of clustering feature. Summlyis a Google app that shows the news from different news sites.Facebook’s face detection and spam checker use the technique of classificationthat helps in deciding whether a thing justifies being a part of some type ornot. Applications can analyze data faster and more effectively by using thissoftware. You will find excellent community support in this software.(Source: Apache Mahout)Key features: * Supports a community of users * Focuses on the practical problems * Adaptive & Chatbot * Digital Assistants * Extensible programming framework * Scalable algorithms * Clustering & Classification * Provides appropriate documentation * Multi-languages * Process/Workflow Automation * Speech recognition4 OpenNNOpenNN is the free, open-source artificial intelligence software that iswritten in C++ programming language. It provides a higher processing speed.For advanced analytics, this app works as a free neural network library. Inenergy, health, and marketing, this app gets to the bottom of manyapplications.This free artificial intelligence software deals with machine learningsolutions due to the presence of sophisticated algorithms and utilities. Themachine learning solutions that are covered is regression, classification,forecasting, and association.With universal approximation properties, this software allows the design ofneural networks. The high performance of this software is its main advantage.It offers technology evaluation, proof of concept, design, and implementation.(Source: OpenNN)Key features: * Digital Assistants * Predictive Analytics * Fast performance * Speech recognition & multiple languages * Unified Modeling Language (UML) * Adaptive & Chatbot * Virtual Personal Assistant (VPA) * Sophisticated algorithms * Forecasting * Advanced analytics5 Scikit-learnScikit-learn is the free artificial intelligence tool that provides a varietyof supervised and unsupervised learning algorithms through a consistentinterface. It is considered a simple and efficient tool for data mining anddata analysis. In various contexts, this free open source AI software isreusable and accessible to everybody. You can consider this app if you want tobring machine learning into a production system.This software serves as a convenient platform that can predict consumerbehavior. Around the world, Scikit-learn is extensively used by commercial andresearch organizations. The business entities and research organizations findthe module of this software easy to use as it allows performing the multitudeof processes.(Source: Scikit-learn)Key features: * Adaptive & data ingestion * Clustering & Classification * Preprocessing * Model Selection * Dimensionality reduction * Regression * Cross-Validation * Datasets & digital Assistants * Dimensionality Reduction * Manifold Learning * Machine learning * Process/Workflow Automation * Virtual Personal Assistant (VPA)6 Accord.NETIf you are looking for a free artificial intelligence tool, then Accord.NET isapt for your requirement. This app is a .NET machine learning framework thatcombines with audio and image processing libraries. This open-source AIdevelopment tool offers statistical analysis, image processing, machinelearning, and mathematics and computer vision.For creating production-grade computer vision, audition of computer, signaldispensation, statistics applications, and commercial use, you will find thissoftware a complete framework. The structure of this software is divided intoa library that includes scientific computing along with signal and imageprocessing.(Source:Accord.NET)Key features: * Data Ingestion * Adaptive * Support Vector Machines * Deep learning * Camshift object tracking * Haar-feature image recognition * Decision Trees along with automatic code generation * Hypothesis Testing * Statistical Analysis * Hidden and conditional random fields * Standard & multinomial logistic regression * Second-order neural network learning algorithms * Digital Assistants & Multi languages * Process/Workflow Automation * Speech recognition7 TorchThis free, open-source artificial intelligence tool is a scientific computingframework with ample support for machine learning algorithms that places GPUsfirst.Torch believes in having complete flexibility and speed in buildingscientific algorithms. It makes the process enormously simple.In machine learning, computer vision, parallel processing, signal processing,networking, image, video, audio, you will find that this free AI software appcomes with a vast ecosystem of community-driven packages.Consistently, this app is evolving and is used within Facebook, Twitter, NYU,Purdue, numerous research labs, and companies. It is swift and holds massivedata along with new dynamic scoring.(Source: Torch) Key features: * Chatbot & speech recognition * Adaptive & Digital Assistants * N-dimensional array * Routines for indexing, slicing transposing * GPU support * Fixed with ports to iOS and Android backends * Neural network * Energy-based models * Predictive Analytics * Machine learning

Artificial Intelligence vs Robotics: All the Facts You Need to Know

Robots have always been our point of fascination. The swiftness with whichthey do the work of 100 human beings keeps our eyes wide open. The Asimovrobot by Honda introduced the humans of the 21st century to modern-dayrobotics. AI has recently seen a significant rise in its demand as well as itsdevelopment in varied fields of jobs. This has led to a surge in demand formachine learning companies in India. In this blog, we will try to present thefacts on the artificial intelligence vs robotics and will thus, see how comethey are similar and in what sense different.SourceIt is a common perception that AI and Robotics are the same or somewhatsimilar. In layman’s language, AI is the brain while Robotics is the body.Robots have existed without AI in the past. And will continue to do so. Aswithout Robots, the implementation of AI is nothing but software interaction.An artificially-intelligent robot is a term for the combination of these twotechnologies as it is still under research work. The augmentation of both willdo wonders. But until then one needs to clear the concept that both AI andRobotics serve different purposes. This is where the need for machine learningconsulting arises.

Artificial Intelligence vs Robotics: The Background

Robotics is the branch of science that deals with the development of robots.Robots aim to complete the work done by human in much lesser time with betterefficiency. The robots can be automatic or need some initial instructions fromhumans.AI is a computer science branch and it helps in developing software that cando the task that needs personal discretion, decision-making, and intelligenceas these qualities cannot be otherwise programmed in a computer. AIdevelopment services can help the machine learn and perceive surroundings toadapt as per the situation. AI can even solve different problems, tacklelogical reasoning and also learn languages.Robots are programmable and interact with the surrounding using sensors. Theymight be automatic or semi-automatic depending on the area of theirapplication.AI is a science that depends on machine learning and algorithms. If explainedin limited words, AI works on its own decision making and reasoning.A robot aims to simplify lifestyle and increase work productivity. A robotthat can improvise the methods to work will be more than welcome. But a cleardefinition of the robot doesn’t imply anywhere about learning. Designing arobot undergoes a lot of physical building, external designing, and coding (orAI), which aims to enhance its decision-making capacity.But AI is all about humanizing the technological experience. AI engines founduse in GPS trackers, better navigation systems, customer care chatbot, andothers. There are few cases where an AI program powers robots.There’s a separate type of robot powered by AI, i.e., Artificially-IntelligentRobot. Control of Robot is through an AI program developed in a tightly knitenvironment. AI development companies along with Robotic development firmsperform this task. AI robots have a varied spectrum of application. They founduse in several departments of the same factory whereas a simple robot performsrepetitive tasks with a set of programmed movements. It does not need anyintelligence.

Artificial Intelligence and Machine Learning

Build your knowledge of the fundamental statistical models and numericaloptimizations of machine learning, including deep learning, with applicationsin computer vision, natural language processing and intelligent userinteraction.

4. Artificial intelligence

How can we take advantage of artificial intelligence (AI) in learningenvironments? Digital voice assistants like Alexa and Echo have made their wayinto classrooms, but educators are just uncovering ways to use them. Look forAI to explode in schools in the near future, predicts ISTE board member HallDavidson, senior director, global learning initiatives for DiscoveryEducation. He sees the potential of AI to support students in reaching higherlevels of learning and thinking as they use the devices to practice askingquestions and thinking out loud.

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